Machine-Learning Aided Product Development of Nafion-Based Coatings
In this research project, we aim to use machine learning to derive insights to guide the development of coating products based on Nafion using technology acquired under the UBD-BEDB-Pixela BRISc project which ended in July 2016. To date, we have developed Nafion-based photocatalytic-coatings for antifungal and thermo-reflective polarised roof material applications. Further research, innovation and development must continue in order to increase and sustain the value of the products developed. To this end, we intend to use machine learning to lower the product-development costs. Programming skills are required for this project.
Application invited for: PhD and Master in Material Science by Research